simplifying generation

generate.py

@@ -1,21 +1,7 @@
 import torch
 from transformers import pipeline
-import json
-import warnings
 
-model_id = "princeton-nlp/Llama-3-Instruct-8B-SimPO"
+model_id = "princeton-nlp/gemma-2-9b-it-SimPO"
-
-with open('chat_templates.json', 'r') as f:
-    chat_templates = json.load(f)
-
-if "llama-3" in model_id.lower():
-    template = chat_templates["llama3"]
-elif "mistral-7b-base" in model_id.lower():
-    template = chat_templates["mistral-base"]
-elif "mistral-7b-instruct" in model_id.lower():
-    template = chat_templates["mistral-instruct"]
-else:
-    warnings.warn("No template set for the given model_id.")
 
 generator = pipeline(
     "text-generation",
@@ -23,6 +9,5 @@ generator = pipeline(
     model_kwargs={"torch_dtype": torch.bfloat16},
     device="cuda",
 )
-generator.tokenizer.chat_template = template
 outputs = generator([{"role": "user", "content": "What's the difference between llamas and alpacas?"}], do_sample=False, max_new_tokens=200)
 print(outputs[0]['generated_text'])